You Have Not yet Heard Your Favourite Song

Langue : English

Publié 2024 par Canbury Press Ltd.

ISBN :: 978-1-914487-15-6

For the first time in history, almost every song ever recorded is available instantly. Everywhere.

You Have Not Yet Heard Your Favourite Song charts what music's dazzling digital revolution really means for fans and artists.

As a former data guru at the world's biggest streaming service, Spotify, Glenn McDonald reveals:

What the tech giants know about youHow they serve up your next songWhether fans can cheat the algorithm Whether jazz is dead and ASMR is the new punkYour chances of becoming a rock starHaving analysed the streams of 500 million people, McDonald explores what the data tells us about music and about ourselves, from the secrets of russelåter in Norway to Christmas in the Philippines. Statistically, you have not yet heard your lifetime's favourite song. This book will take you on a voyage of discovery through music's fast-flowing new waters.

For the first time in history, almost every song ever recorded is available instantly. Everywhere.

You Have Not Yet Heard Your Favourite Song charts what music's dazzling digital revolution really means for fans and artists.

As a former data guru at the world's biggest streaming service, Spotify, Glenn McDonald reveals:

What the tech giants know about youHow they serve up your next songWhether fans can cheat the algorithm Whether jazz is dead and ASMR is the new punkYour chances of becoming a rock starHaving analysed the streams of 500 million people, McDonald explores what the data tells us about music and about ourselves, from the secrets of russelåter in Norway to Christmas in the Philippines. Statistically, you have not yet heard your lifetime's favourite song. This book will take you on a voyage of discovery through music's fast-flowing new waters.

1 édition

Aram ZS a publié une critique de You Have Not yet Heard Your Favourite Song par Glenn McDonald

The algorithm and the humans in it

5 étoiles

One of the easiest books to read about algorithms you'll find, chock full of insights about how music, the music industry and the world of streaming works. Perhaps the best part is that the casual fun writing is shot through with the author's music suggestions and humanity, giving the whole piece a warm friendly feel. It's also filled with potent quotes about the future we should want to build with algorithms, computers, and art. Every Spotify user should read it. Then everyone else.

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